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at the Institute for Regeneration and Repair. In this role, you will contribute to cutting-edge research using genomic data to understand why critically ill patients respond differently to infection. Your work will
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, with a focus on biodiversity conservation. You’ll contribute to high-impact publications and collaborate across disciplines to deliver research that makes a real-world difference. In addition a
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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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responsibilities will include: Develop Diagnostic Assays: Plan and execute laboratory and computation processes to create and optimise diagnostic tools for infectious diseases. Conduct Molecular Research: Utilise
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and
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conceptually different treatment strategies. Specific areas of focus are the mechanisms by which glioblastoma initiates from normal neural stem cells, how it recurs following treatment and the links between